By Richard Stones, Neil Matthew
This is not fairly a foul e-book, yet given the readability with which PostgreSQL's respectable (and loose) documentation is written, loads of it additionally isn't really helpful. definite, it really is particularly thick, yet loads of these pages are devoted to relatively gruesome screenshots and Windows-specific silliness i am keen to wager few participants of this product's target market are relatively drawn to. There also are whole chapters devoted to C# and Java APIs which may still most likely be separate books in the event that they quite desired to do justice to such topics--their inclusion right here simply appears like unnecessary filler.
If you've completely no suggestion what SQL is and need to get your ft rainy with Postgres, then this can be the absolute e-book for you. when you have an excellent concept what you are doing and simply are looking to choose up on a few of Postgres' quirks, i am not too convinced you will be getting your money's worthy right here. It simply attempts to hide method an excessive amount of flooring too fast, and the knowledge finally ends up getting stretched a bit skinny.
Read or Download Beginning Databases with PostgreSQL: From Novice to Professional, Second Edition (Beginning from Novice to Professional) (Volume 0) PDF
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Additional resources for Beginning Databases with PostgreSQL: From Novice to Professional, Second Edition (Beginning from Novice to Professional) (Volume 0)
If you cannot decide what to call something, it’s often a clue that all is not well in your table and column design. In addition to coming up with appropriate names, most database designers have their own personal rules of thumb, or naming conventions, that they use to ensure the naming of tables and columns in a database is consistent. Don’t have some table names singular and some plural. For example, rather than naming one table office and the other departments, use office and department. If you decide on a naming rule for an id column—perhaps the table name with an appended _id—stick to that rule.
Here is some SQL for creating a new table in a database. This example creates a table for customers: CREATE TABLE customer ( customer_id serial, title char(4), fname varchar(32), lname varchar(32) not null, addressline varchar(64), town varchar(32), zipcode char(10) not null, phone varchar(16), ); We state that the table requires an identifier, which will act as a primary key, and that this is to be generated automatically by the database system. It has type serial, which means that every time a customer is added, a new, unique customer_id will be created in sequence.
As you can see, that was pretty easy. Don’t worry about the details of the SQL statement yet. We will come back to that more formally in Chapter 5. Projection Now let’s look at projection, where we are selecting particular columns from a table. Suppose we wanted to select just the first name and last names from our customer table. You will remember that we called those columns fname and lname. The command to retrieve the names is also quite simple: SELECT fname, lname FROM customer; PostgreSQL responds by returning the appropriate columns, as shown in Figure 2-8.
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